中北大学学报（自然科学版）2017，Vol.38Issue(1)：66-71,6.DOI:10.3969/j.issn.1673-3193.2017.01.013
基于迭代学习理论的配电网重构
Distribution Network Reconfiguration Based on Iterative Learning Control
徐敏 1吴成 1罗燎 1林辉 2戴薇1
作者信息
- 1. 南昌大学 信息工程学院,江西 南昌 330031
- 2. 西北工业大学 自动化学院,陕西 西安 710072
- 折叠
摘要
Abstract
Since iterative learning theory has the characteristic of not rely on mathematical models for the zero error expected trajectory tracking,the optimization objective function is replaced by the target traj-ectory.So it can be applied to the general optimization problem.Based on the mechanism of tracking the trajectory theory,a new method for the distribution network reconfiguration was presented in this pa-per,with the objective function of minimum network loss and the consideration of the corresponding constraints.The open-loop P-type learning law was used to get the minimum loss distribution network by changing the switch state of network for reconstruction to get the distribution network structure with the minimum network loss.Finally,the standard IEEE33 and PG&E69 bus system were used to recon-struction which not only got the global optimal solution,but also changed the iteration time from 1.25 s to 0.266 s.关键词
迭代学习控制/配电网重构/收敛性/网损Key words
iterative learning control/distribution network reconfiguration/convergence/network loss分类
信息技术与安全科学引用本文复制引用
徐敏,吴成,罗燎,林辉,戴薇..基于迭代学习理论的配电网重构[J].中北大学学报（自然科学版）,2017,38(1):66-71,6.
